Sr. Staff Backend Engineer

תיאור המשרה

Zscaler (NASDAQ: ZS) accelerates digital transformation so customers can be more agile, efficient, resilient, and secure. The Zscaler Zero Trust Exchange platform protects thousands of customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location. Distributed across 200+ public data centers globally and thousands of private sites at the edge, the SASE-based Zero Trust Exchange is the world’s largest in-line cloud security platform. We believe the future of work is Human + AI and are building an AI-native enterprise where human potential is amplified by machine intelligence to solve the world’s hardest security challenges. Driven by deep customer obsession, we are committed to the mission, outcome, and to each other. We bring these commitments to life through three core behaviors: ownership and collaboration, trust through outcomes and impact, and a challenge culture with ongoing feedback. Ready to make an impact at the company pioneering security transformation in the AI era? Join us at Zscaler. Role We are looking for a Sr. Staff Backend Engineer to join our team. This is a Hybrid (Ramat Gan) role, reporting to the Manager, Software Engineering in the Exposure Management & Security Operations department. Avalor, now part of Zscaler, powers the data foundation behind Zscaler's Security Operations platform, ingesting, unifying, and contextualizing data from hundreds of security and business tools to power security modules that deliver actionable insights and measurable risk reduction to our customers. In this role, you'll own complex backend systems that sit at the heart of our data platform, designing and building services that ingest, process, and move massive amounts of data reliably and at scale for enterprise customers worldwide. What you’ll do (Role Expectations) • Developing and maintaining high-quality, scalable backend services within a microservices architecture using Java/Spring Boot and Python • Designing and building data pipelines and ETL workflows that ingest, transform, and unify data from diverse sources at enterprise scale • Leading solutions from scratch to production; creating technical designs, driving architectural decisions and taking full ownership of complex projects — from design and implementation through deployment, monitoring performance, reliability and cost, and proactively driving improvements • Collaborating closely with cross-functional partners - product managers, frontend/backend engineers and UX designers • Serving as a technical anchor for the team - leading design discussions, setting engineering standards, and driving best practices across the codebase Who You Are (Success Profile) • You thrive in ambiguity. You're comfortable building the path as you walk it. You thrive in a dynamic environment, seeing ambiguity not as a hindrance, but as the raw material to build something meaningful. • You act like an owner. Your passion for the mission fuels your bias for action. You operate with integrity because you genuinely care about the outcome. True ownership involves leveraging dynamic range: the ability to navigate seamlessly between high-level strategy and hands-on execution. • You are a problem-solver. You love running towards the challenges because you are laser-focused on finding the solution, knowing that solving the hard problems delivers the biggest impact. • You are a high-trust collaborator. You are ambitious for the team, not just yourself. You embrace our challenge culture by giving and receiving ongoing feedback—knowing that candor delivered with clarity and respect is the truest form of teamwork and the fastest way to earn trust. • You are a learner. You have a true growth mindset and are obsessed with your own development, actively seeking feedback to become a better partner and a stronger teammate. You love what you do and you do it with purpose. What We’re Looking for (Minimum Qualifications) • Foundational understanding of AI/ML technologies and experience leveraging, securing, or positioning AI-driven solutions to optimize outcomes within your functional domain • 5+ years of proven backend software engineering experience building and shipping complex SaaS solutions in production, with proficiency in Java/Spring Boot or a comparable high-level backend language • Hands-on experience with data-intensive systems, including ETL pipelines, big data stores, and high-throughput data processing • Proficiency in high-scale, multi-tenant cloud architecture, including microservices, Docker, Kubernetes, and workflow orchestration • Proven ability to lead end-to-end technical work autonomously from design to deployment, paired with excellent communication and collaboration skills What Will Make You Stand Out (Preferred Qualifications) • Demonstrate a proven ability to leverage AI technologies and workflows to drive measurable operational efficiency. • Experience designing and optimizing backend data infrastructure for large language model (LLM) workflows, retrieval-augmented generation (RAG) platforms, or AI-driven security analytics pipelines • Experience as a team lead or tech lead • B.Sc. in Computer Science or a related field #LI-MM8 #LI-HYBRID At Zscaler, we are committed to building a team that reflects the communities we serve and the customers we work with. We foster an inclusive environment that values all backgrounds and perspectives, emphasizing collaboration and belonging. Join us in our mission to make doing business seamless and secure. Our Benefits program is one of the most important ways we support our employees. Zscaler proudly offers comprehensive and inclusive benefits to meet the diverse needs of our employees and their families throughout their life stages, including: • Various health plans • Time off plans for vacation and sick time • Parental leave options • Retirement options • Education reimbursement • In-office perks, and more! Learn more about Zscaler's hybrid working model and benefits here . By applying for this role, you adhere to applicable laws, regulations, and Zscaler policies, including those related to security and privacy standards and guidelines. Zscaler is committed to providing equal employment opportunities to all individuals. We strive to create a workplace where employees are treated with respect and have the chance to succeed. All qualified applicants will be considered for employment without regard to race, color, religion, sex (including pregnancy or related medical conditions), age, national origin, sexual orientation, gender identity or expression, genetic information, disability status, protected veteran status, or any other characteristic protected by federal, state, or local laws. See more information by clicking on the Know Your Rights: Workplace Discrimination is Illegal link. Pay Transparency Zscaler complies with all applicable federal, state, and local pay transparency rules. Zscaler is committed to providing reasonable support (called accommodations or adjustments) in our recruiting processes for candidates who are differently abled, have long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support.